דרושים » הנדסה » Platform Engineering Manager, Data Security Team

As a DevOps Experience Manager at Fiverr, you will lead our DevEx team with a specific focus on optimizing the end-to-end journey of our software engineers. Your mission is to build and maintain a scalable, secure, and intuitive internal developer platform that minimizes friction and maximizes productivity. You will drive the adoption of modern DevEx practices, ensuring a seamless alignment between engineering workflows, developer satisfaction, and operational excellence. This leadership role requires a balance of hands-on technical expertise and strategic vision, empowering your team to deliver high-quality platform solutions in a fast-paced environment. You will shape Fiverr’s developer productivity strategy - optimizing the "inner loop," enhancing system reliability, and implementing innovative technologies, including Generative AI-driven automation , to provide developers with better self-service capabilities and insights.

What am I going to do?:
Lead and mentor a team of engineers dedicated to developer productivity, fostering a culture of ownership and continuous improvement. Design and implement scalable, secure, and cost-efficient developer platforms and architectures that simplify the path to production. Evaluate and adopt emerging tools and best practices to enhance the developer experience and overall product quality. Drive standards of Infrastructure as Code, comprehensive observability, and automated testing to create a "paved road" for development teams. Monitor productivity metrics and infrastructure reliability, providing data-driven insights to leadership on how to improve engineering velocity. Guide the team in applying GenAI-native tools to automate documentation, provide self-service support for developers, and optimize performance. Partner with cross-functional leaders to influence architecture and development workflows, ensuring the platform meets the needs of all engineering teams. Hire and continue to build the team Report to the VP of Cloud Engineering , contributing to Fiverr's long-term technology roadmap for developer empowerment.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

we are a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work
At our company youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

Location: Tel Aviv

The Role
Were looking for a hands-on Technical Lead / Architect to design, build, and guide the development of scalable, secure, and resilient systems. As a key member of our engineering team, youll own architectural decisions and lead the delivery of a large-scale SaaS platform that powers mission-critical experiences for our customers. Youll collaborate with seasoned engineers and product leaders to shape and implement our technology vision - spanning everything from REST APIs and distributed microservices to data pipelines and analytics infrastructure. Youll work with modern open-source tools, cloud-native frameworks, and DevOps practices to deliver solutions that scale efficiently and securely.

Your Day-to-Day

Lead the design and implementation of core backend systems and microservice architectures.

Drive technical decision-making, ensuring performance, scalability, and security-by-design.

Collaborate cross-functionally with product, DevOps, and data teams to align architecture with business goals.

Champion code quality, automation, observability, and engineering excellence.

Mentor engineers, conduct design and architecture reviews, and raise the teams technical bar.

Work closely with data scientists to integrate machine learning / AI models into the system.

Stay ahead of emerging technologies, frameworks, and cybersecurity best practices relevant to SaaS architecture.

We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale

We are seeking an exceptional Senior Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Senior Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Mentor junior engineers through code reviews, pair programming, and technical guidance
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
Contribute to architectural decisions and establish best practics for backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

We are looking for a DevOps Engineer to lead Observability and Continuous FinOps as core platform capabilities .This is a hands-on platform role. You will own the systems, automation, and operating models that give engineers and leadership deep visibility into system health and cloud spend. You are a DevOps engineer first, with primary ownership over observability and cloud financial management.
What Youll Do:
Own and operate observability platform, including metrics, logs, traces, and alerting
Build observability-as-code and self-service tooling for development teams
Define and implement observability standards such as SLIs, SLOs, error budgets, and service health models
Lead Continuous FinOps practice together with Engineering and Finance
Build and maintain cost dashboards, alerts, anomaly detection, and forecasting
Provide clear unit-economics and cost allocation across teams, services, and environments
Drive cloud cost optimization initiatives across compute, storage, and managed services
Build and maintain cloud infrastructure, CI/CD pipelines, and infrastructure-as-code
Partner closely with Engineering, Platform, and Finance stakeholders

As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI
Your Impact:
Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
Challenge existing processes by championing reliability, security, and operational maturity across the organization.

Who We Are: Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers - including world-leading brands - rely on our platform to streamline and accelerate everything from compilation to release automation, resulting in major resource savings and faster time-to-market. We’ve helped over 200,000 developers at companies like Microsoft, Samsung, Nintendo, Amazon, and many others build some of the world’s most impactful software across gaming, financial services, embedded systems, and more. As a Pre-sale engineer , you will partner with enterprise customers to design and deliver solutions that accelerate CI/CD pipelines and developer productivity. This is a customer-facing, pre-sales role combining deep technical expertise (backend systems, CI/CD, DevOps) with strong business and communication skills. You will lead technical discovery, run POCs, and act as a trusted advisor throughout the sales cycle and early onboarding.
?Key Responsibilities
* Own the technical engagement from discovery through POC and rollout
* Analyze customer CI/CD and build environments to identify bottlenecks
* Design scalable solutions leveraging Incredibuild across backend and DevOps ecosystems
* Build ROI-driven value propositions using performance metrics
* Partner with Sales, Product, and Engineering to drive successful deployments
* Create reusable assets (POCs, best practices, demos)
* Support early-stage onboarding and expansion

We are looking for a Senior Platform Engineer to join the DevOps team and work across two core domains:

Internal platform and DevOps ownership: Developer experience, CI/CD, observability, reliability, and cost optimization.
Customer cloud integrations: Developing, maintaining, and supporting Infrastructure-as-Code and tooling that customers use to deploy and integrate the product into their own cloud environments.

This role blends hands-on engineering, cloud architecture, and customer-facing technical work, and requires strong Infrastructure-as-Code skills alongside the ability to collaborate with external teams.


Responsibilities:

Internal Platform & DevOps:
Design, develop, and maintain internal platform infrastructure and tooling that improves developer experience, application delivery, and operations.
Build and operate CI/CD pipelines for application and infrastructure deployments (e.g., GitHub Actions, ArgoCD), with a focus on fast, reliable feedback for developers.
Own observability and reliability for internal systems using tools such as Grafana, Datadog, Coralogix, OpenTelemetry, or similar, including metrics, logs, alerting, dashboards, and runbooks.
Lead FinOps and cost optimization initiatives across platform services and observability tooling.

Customer Cloud Integrations:
Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed, sometimes during US business hours.
Collaborate with customers on best practices for secure, reliable, and cost-efficient deployments.

we are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps our company running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency.
our companys Technology Stack sample:
AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
Improve resiliency and cost efficiency of our cloud infrastructure.
Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
Develop AI-driven self-service solutions to accelerate developer issue resolution and resource provisioning.
Develop and adopt new tools to make Development and Operations processes at our company more efficient.
Collaborate with developers to optimize system performance, reliability, and scale.
Evolve and maintain our companys AWS infrastructure by improving and adopting new services.
Support AI/ML/GenAI services with scalable infrastructure and monitoring.
Maintain our company availability by participating in DevOps on-call shifts.
Mentor DevOps engineers.